Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add prime-skills/runcomfy-agent-skills --skill codex-petgit clone --depth 1 https://github.com/prime-skills/runcomfy-agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/prime-skills/runcomfy-agent-skills/codex-pet)<a href="https://agentmods.dev/skills/prime-skills/runcomfy-agent-skills/codex-pet"><img src="https://agentmods.dev/badge/skills/prime-skills/runcomfy-agent-skills/codex-pet/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/prime-skills/runcomfy-agent-skills/codex-pet"><img src="https://agentmods.dev/badge/skills/prime-skills/runcomfy-agent-skills/codex-pet.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- Socket pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00279 | $0.05838 |
| Opus 5 | $0.00139 | $0.02919 |
| Sonnet 5 | $0.00056 | $0.01168 |
| Haiku 4.5 | $0.00028 | $0.00584 |
Grade A, and why
codex-pet scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 348 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Codex Pet — Pro Pack on RunComfy
runcomfy.com · GPT Image 2 edit endpoint · docs
Codex Pet generator on RunComfy. Turn one source image into a Codex-compatible custom Codex Pet — pet.json + spritesheet.webp — drop it into ${CODEX_HOME:-$HOME/.codex}/pets/<name>/, Codex picks it up next to the 8 built-in Codex Pets.
npx skills add agentspace-so/runcomfy-agent-skills --skill codex-pet -g
What a Codex Pet is
OpenAI Codex Pets (released May 2026) are pixel-art animated companions that float over your desktop while Codex codes — they react to mouse interaction and Codex status (scratching head when thinking, popping a speech bubble when a task completes). Codex ships with 8 built-in Codex Pets and supports custom Codex Pets installed locally as a folder under ${CODEX_HOME:-$HOME/.codex}/pets/.
Each custom Codex Pet folder contains exactly two files:
pet.json— manifest withid,displayName,description,spritesheetPath.spritesheet.webp— Codex Pet sprite atlas, 1536x1872 PNG or WebP, 8 columns x 9 rows of 192x208 cells, transparent background.
The 9 rows correspond to 9 animation states Codex plays. Each row uses a fixed number of leading frames; trailing cells stay fully transparent.
Why this Codex Pet skill (vs OpenAI's official hatch-pet)
OpenAI ships an official hatch-pet skill that produces the same Codex Pet artifact via the Codex-internal $imagegen system skill (requires Codex Pro + $imagegen configured).
This Codex Pet skill is a drop-in alternative that runs via the RunComfy CLI: a single RUNCOMFY_TOKEN plus runcomfy and magick binaries — no Codex Pro, no $imagegen, no OPENAI_API_KEY. The output Codex Pet artifact is identical — same pet.json shape, same spritesheet.webp 1536x1872 atlas, same 9 animation rows — so Codex treats this Codex Pet exactly like one made by hatch-pet.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 348 lines · 279 tokens per session scan A 00f9db8ad7bd
codex-pet is a skill published in the GitHub repository prime-skills/runcomfy-agent-skills (44 stars, last pushed 3mo ago), licensed MIT. It adds 279 tokens to every session and 5,838 once invoked, about $0.0014 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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